Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology mapping: the state of the art
The Knowledge Engineering Review
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A lightweight coordination calculus for agent systems
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
A survey of schema-based matching approaches
Journal on Data Semantics IV
Using the π-calculus for formalizing workflow patterns
BPM'05 Proceedings of the 3rd international conference on Business Process Management
Languages, Methodologies and Development Tools for Multi-Agent Systems
I-SSA: Interaction-Situated Semantic Alignment
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Ontology Matching Supported by Query Answering in a P2P System
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Probabilistic Dialogue Models for Dynamic Ontology Mapping
Uncertainty Reasoning for the Semantic Web I
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
An interaction-based approach to semantic alignment
Web Semantics: Science, Services and Agents on the World Wide Web
Lightweight coordination calculus for agent systems: retrospective and prospective
DALT'11 Proceedings of the 9th international conference on Declarative Agent Languages and Technologies
Hi-index | 0.00 |
In open and distributed environments ontology mapping provides interoperability between interacting actors. However, conventional mapping systems focus on acquiring static information, and on mapping whole ontologies, which is infeasible in open systems. This paper shows that the interactions themselves between the actors can be used to predict mappings, simplifying dynamic ontology mapping. The intuitive idea is that similar interactions follow similar conventions and patterns, which can be analysed. The computed model can be used to suggest the possible mappings for the exchanged messages in new interactions. The suggestions can be evaluate by any standard ontology matcher: if they are accurate, the matchers avoid evaluating mappings unrelated to the interaction. The minimal requirement in order to use this system is that it is possible to describe and identify the interaction sequences: the Open-Knowledge project has produced an implementation that demonstrates this is possible in a fully peer-to-peer environment.